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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2003
IEEE
14 years 11 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
IJRR
2010
137views more  IJRR 2010»
13 years 7 months ago
Multiclass Multimodal Detection and Tracking in Urban Environments
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
CVPR
2000
IEEE
14 years 11 months ago
Dynamic Layer Representation with Applications to Tracking
A dynamic layer representation is proposed in this paper for tracking moving objects. Previous work on layered representations has largely concentrated on two-/multiframe batch fo...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
EVENT
2001
140views more  EVENT 2001»
13 years 10 months ago
Multimodal 3-D Tracking and Event Detection via the Particle Filter
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
ICIP
2005
IEEE
14 years 10 months ago
Aircraft detection and tracking using intelligent cameras
Systems that provide ground movement management at airports, maintaining ground safety and increasing air traffic capacity, are called A-SMGCS (Advanced Surface Movement Guidance a...
Kosmas Dimitropoulos, Nikos Grammalidis, Dimitrios...